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<div class="title">3DCurvatureViewerNoise </div> </div>
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<div class="textblock"><p>Same as <a class="el" href="Doc3DCurvatureViewer.html">3DCurvatureViewer</a>, but allows to add some noise to objects.</p>
<p>Vol file viewer, with curvature (mean or Gaussian, see parameters) information on surface. Blue color means lowest curvature Yellow color means highest curvature Red means the in-between</p>
<p>Uses IntegralInvariantCurvatureEstimation </p><dl class="section see"><dt>See also</dt><dd>related article: Coeurjolly, D.; Lachaud, J.O; Levallois, J., (2013). Integral based Curvature Estimators in Digital Geometry. DGCI 2013. Retrieved from <a href="https://liris.cnrs.fr/publis/?id=5866">https://liris.cnrs.fr/publis/?id=5866</a></dd></dl>
<p><b>Usage:</b> 3dCurvatureViewerNoise -i file.vol –radius 5 –mode mean –noise 0.5</p>
<p><b>Allowed</b> <b>options</b> <b>are:</b> </p>
<div class="fragment"><div class="line">Positionals:</div>
<div class="line"> 1 TEXT:FILE REQUIRED vol file (.vol, .longvol .p3d, .pgm3d and <span class="keywordflow">if</span> WITH_ITK is selected: dicom, dcm, mha, mhd). For longvol, dicom, dcm, mha or mhd formats, the input values are linearly scaled between 0 and 255.</div>
<div class="line"> </div>
<div class="line">Options:</div>
<div class="line"> -h,--help Print <span class="keyword">this</span> help message and exit</div>
<div class="line"> -i,--input TEXT:FILE REQUIRED vol file (.vol, .longvol .p3d, .pgm3d and <span class="keywordflow">if</span> WITH_ITK is selected: dicom, dcm, mha, mhd). For longvol, dicom, dcm, mha or mhd formats, the input values are linearly scaled between 0 and 255.</div>
<div class="line"> -r,--radius FLOAT REQUIRED Kernel radius <span class="keywordflow">for</span> IntegralInvariant</div>
<div class="line"> -k,--noise FLOAT=0.5 Level of Kanungo noise ]0;1[</div>
<div class="line"> -t,--threshold UINT=8 Min size of <a class="codeRef" href="https://dgtal-team.github.io/doc-nightly/structDGtal_1_1SignedKhalimskyCell.html">SCell</a> boundary of an <span class="keywordtype">object</span></div>
<div class="line"> -l,--minImageThreshold INT=0 set the minimal image threshold to define the image object (<span class="keywordtype">object</span> defined by the voxel with intensity belonging to ]minImageThreshold, maxImageThreshold ] ).</div>
<div class="line"> -u,--maxImageThreshold INT=255 set the maximal image threshold to define the image object (<span class="keywordtype">object</span> defined by the voxel with intensity belonging to ]minImageThreshold, maxImageThreshold] ).</div>
<div class="line"> -m,--mode TEXT:{mean,gaussian,k1,k2,prindir1,prindir2,normal}=mean</div>
<div class="line"> type of output : mean, gaussian, k1, k2, prindir1, prindir2 or normal(<span class="keywordflow">default</span> mean)</div>
<div class="line"> -o,--exportOBJ TEXT Export the scene to specified OBJ/MTL filename (extensions added).</div>
<div class="line"> -d,--exportDAT TEXT Export resulting curvature (<span class="keywordflow">for</span> mean, gaussian, k1 or k2 mode) in a simple data file each line representing a surfel.</div>
<div class="line"> --exportOnly Used to only export the result without the 3d Visualisation (usefull <span class="keywordflow">for</span> scripts).</div>
<div class="line"> -s,--imageScale FLOAT x 3 scaleX, scaleY, scaleZ: re sample the <a class="codeRef" href="https://dgtal-team.github.io/doc-nightly/namespaceboost.html#a6ef3be04115b85579ddf40d86e3ed4d5">source</a> image according with a grid of size 1.0/scale (usefull to compute curvature on image defined on anisotropic grid). Set by <span class="keywordflow">default</span> to 1.0 <span class="keywordflow">for</span> the three axis.</div>
<div class="line"> -n,--normalization BOOLEAN When exporting to OBJ, performs a normalization so that the geometry fits in [-1/2,1/2]^3</div>
<div class="ttc" id="anamespaceboost_html_a6ef3be04115b85579ddf40d86e3ed4d5"><div class="ttname"><a href="https://dgtal-team.github.io/doc-nightly/namespaceboost.html#a6ef3be04115b85579ddf40d86e3ed4d5">boost::source</a></div><div class="ttdeci">graph_traits< DGtal::DigitalSurface< TDigitalSurfaceContainer > >::vertex_descriptor source(typename graph_traits< DGtal::DigitalSurface< TDigitalSurfaceContainer > >::edge_descriptor edge, const DGtal::DigitalSurface< TDigitalSurfaceContainer > &digSurf)</div></div>
<div class="ttc" id="astructDGtal_1_1SignedKhalimskyCell_html"><div class="ttname"><a href="https://dgtal-team.github.io/doc-nightly/structDGtal_1_1SignedKhalimskyCell.html">DGtal::SignedKhalimskyCell</a></div></div>
</div><!-- fragment --><p>Below are the different available modes: </p><pre class="fragment"> - "mean" for the mean curvature
- "gaussian" for the Gaussian curvature
- "k1" for the first principal curvature
- "k2" for the second principal curvature
- "prindir1" for the first principal curvature direction
- "prindir2" for the second principal curvature direction
- "normal" for the normal vector
</pre><p><b>Example:</b> </p>
<div class="fragment"><div class="line">$ 3dCurvatureViewerNoise $DGtal/examples/samples/Al.100.vol -r 15 -m mean -k 0.5</div>
</div><!-- fragment --><p>You should obtain such a visualisation: </p><div class="image">
<img src="res3dCurvatureViewerNoise.png" alt=""/>
<div class="caption">
resulting visualisation of mean curvature.</div></div>
<dl class="section see"><dt>See also</dt><dd><a class="el" href="3dCurvatureViewerNoise_8cpp_source.html">3dCurvatureViewerNoise.cpp</a>, <a class="el" href="Doc3DCurvatureViewer.html">3DCurvatureViewer</a> </dd></dl>
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